Reinforced Morlet Wavelet Transform For Bearing Fault Diagnosis

被引:0
|
作者
Zhou, J. -H. [1 ]
Yang, X. [2 ]
机构
[1] Singapore Inst Mfg Technol, Singapore, Singapore
[2] Nanyang Technol Univ, Sch EEE, Singapore 639798, Singapore
关键词
bearing fault; Morlet wavelet; diagnosis; fault detection; VIBRATION SIGNALS; SPECTRAL-ANALYSIS; DEMODULATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Morlet wavelet transform has been successfully used in signal de-noising for bearing fault diagnosis. However, the existing approach has shortcomings in optimal mother wavelet parameters selection criterion and envelope signal reconstruction. This paper presents two improvements to overcome the two shortcoming of the existing approach, and proposed the reinforced Morlet wavelet transform. Two case studies were conducted to compare the performance of reinforced Morlet wavelet transform with the existing approach. Preliminary results have shown the fault detection consistency improvement from existing 17.7% to 67.6%. Results also shown of the early-fault-detection ability of the reinforced Morlet wavelet transform.
引用
收藏
页数:6
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